Some seemingly obvious solutions are not always effective. For example, buying the most accurate data from all users may exceed the payoff for making the correct open/cancel decision, resulting in a negative profit. Alternatively, spending a fixed, prespecified amount on purchasing raises the issue of predetermining that fixed amount. Therefore, there is a need for an adaptive approach to this problem.
Other studies have attempted to find adaptive solutions to similar problems. However, they either considered a simpler version of this problem [1]} or had different objectives [2]}, [3]}, [4]}, [5]}, thus, resulting in inapplicable solutions.
Finally, the approaches for location privacy protection such as spatial cloaking [6]}, differential privacy [7]} or Geo-Indistinguishablity [8]} are relevant but orthogonal to our work as we discuss in Section REF .
To the best of our knowledge, we are the first to consider the interplay between privacy, utility and price in a data marketplace, particularly in geo-marketplaces, with the focus on the profit of buyers.
